9211 matches found
GHSA-W5GH-2WR2-PM6G Denial of Service in Tensorflow
Impact Changing the TensorFlow's SavedModel protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using tensorflow-serving or other inference-as-a-service installments. We have added...
GHSA-G7P5-5759-QV46 Data leak in Tensorflow
Impact The datasplits argument of tf.rawops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory python tf.rawops.StringNGramsdata="aa", "bb", "cc", "dd", "ee", "ff", datasplits=0,8, separator=" ", ngramwidths=3,...
Data leak in Tensorflow
Impact The datasplits argument of tf.rawops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory python tf.rawops.StringNGramsdata="aa", "bb", "cc", "dd", "ee", "ff", datasplits=0,8, separator=" ", ngramwidths=3,...
Denial of Service in Tensorflow
Impact By controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed:...
GHSA-XMQ7-7FXM-RR79 Denial of Service in Tensorflow
Impact By controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed:...
Integer truncation in Shard API usage
Impact The Shard API in TensorFlow expects the last argument to be a function taking two int64 i.e., long long arguments: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/util/worksharder.hL59-L60 However, there are several places in TensorFlo...
GHSA-H6FG-MJXG-HQQ4 Integer truncation in Shard API usage
Impact The Shard API in TensorFlow expects the last argument to be a function taking two int64 i.e., long long arguments: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/util/worksharder.hL59-L60 However, there are several places in TensorFlo...
Heap buffer overflow in Tensorflow
Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, this code is prone to heap buffer overflow...
GHSA-P5F8-GFW5-33W4 Heap buffer overflow in Tensorflow
Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, this code is prone to heap buffer overflow...
GHSA-X7RP-74X2-MJF3 Segfault in Tensorflow
Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...
Segfault in Tensorflow
Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...
GHSA-QC53-44CJ-VFVX Denial of Service in Tensorflow
Impact The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix:...
Denial of Service in Tensorflow
Impact The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix:...
GHSA-63XM-RX5P-XVQR Heap buffer overflow in Tensorflow
Impact The implementation of SparseFillEmptyRowsGrad uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparsefillemptyrowsop.ccL263-L269 It is possible for reverseindexmapi to be an index outside of bound...
Heap buffer overflow in Tensorflow
Impact The implementation of SparseFillEmptyRowsGrad uses a double indexing pattern: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparsefillemptyrowsop.ccL263-L269 It is possible for reverseindexmapi to be an index outside of bound...
GHSA-RJJG-HGV6-H69V Memory corruption in Tensorflow
Impact The implementation of dlpack.todlpack can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor:...
Memory corruption in Tensorflow
Impact The implementation of dlpack.todlpack can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor:...
Undefined behavior in Tensorflow
Impact If a user passes an invalid argument to dlpack.todlpack the expected validations will cause variables to bind to nullptr while setting a status variable to the error condition. However, this status argument is not properly checked:...
Denial of Service in Tensorflow
Impact The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure:...
GHSA-X5CP-9PCF-PP3H Denial of Service in Tensorflow
Impact The RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure:...